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Ignacio Carlucho
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2020 – today
- 2024
- [c5]Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht:
Learning Complex Teamwork Tasks using a Given Sub-task Decomposition. AAMAS 2024: 598-606 - [c4]Hao Yu, Zebin Huang, Qingbo Liu, Ignacio Carlucho, Mustafa Suphi Erden:
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows. IJCNN 2024: 1-8 - [i15]Hao Yu, Zebin Huang, Qingbo Liu, Ignacio Carlucho, Mustafa Suphi Erden:
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows. CoRR abs/2402.02904 (2024) - [i14]Favour O. Adetunji, Niamh Ellis, Maria Koskinopoulou, Ignacio Carlucho, Yvan R. Petillot:
Digital Twins Below the Surface: Enhancing Underwater Teleoperation. CoRR abs/2402.07556 (2024) - 2023
- [j8]Ignacio Carlucho, Dylan Stephens, William Ard, Corina Barbalata:
Semi-Parametric Control Architecture for Autonomous Underwater Vehicles Subject to Time Delays. IEEE Access 11: 71287-71300 (2023) - [j7]Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht:
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. J. Mach. Learn. Res. 24: 298:1-298:74 (2023) - [j6]Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht:
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity. Trans. Mach. Learn. Res. 2023 (2023) - [c3]Lucia Cipolina-Kun, Stephen Mak, Ignacio Carlucho, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding, Kalesha Bullard:
Multi-Agent Reinforcement Learning for Coalitional Bargaining Games. Tiny Papers @ ICLR 2023 - [i13]Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht:
Learning Complex Teamwork Tasks using a Sub-task Curriculum. CoRR abs/2302.04944 (2023) - [i12]Pierre Nicolay, Yvan R. Petillot, Mykhaylo Marfeychuk, Sen Wang, Ignacio Carlucho:
Enhancing AUV Autonomy With Model Predictive Path Integral Control. CoRR abs/2308.05547 (2023) - 2022
- [j5]Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht:
Deep reinforcement learning for multi-agent interaction. AI Commun. 35(4): 357-368 (2022) - [c2]Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht:
A Survey of Ad Hoc Teamwork Research. EUMAS 2022: 275-293 - [c1]Joshua Nguyen, Manuel F. Bailey, Ignacio Carlucho, Corina Barbalata:
Robotic Manipulators Performing Smart Sanding Operation: A Vibration Approach. ICRA 2022: 2958-2964 - [i11]Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Elliot Fosong, William Macke, Mohan Sridharan, Peter Stone, Stefano V. Albrecht:
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems. CoRR abs/2202.10450 (2022) - [i10]Giuseppe Vecchio, Simone Palazzo, Dario C. Guastella, Ignacio Carlucho, Stefano V. Albrecht, Giovanni Muscato, Concetto Spampinato:
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments. CoRR abs/2205.08389 (2022) - [i9]Ignacio Carlucho, Arrasy Rahman, William Ard, Elliot Fosong, Corina Barbalata, Stefano V. Albrecht:
Cooperative Marine Operations via Ad Hoc Teams. CoRR abs/2207.07498 (2022) - [i8]Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht:
Few-Shot Teamwork. CoRR abs/2207.09300 (2022) - [i7]Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht:
Towards Robust Ad Hoc Teamwork Agents By Creating Diverse Training Teammates. CoRR abs/2207.14138 (2022) - [i6]Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht:
Deep Reinforcement Learning for Multi-Agent Interaction. CoRR abs/2208.01769 (2022) - [i5]Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht:
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. CoRR abs/2210.05448 (2022) - 2021
- [i4]Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata:
Marine Vehicles Localization Using Grid Cells for Path Integration. CoRR abs/2107.13461 (2021) - [i3]Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Luczynski, Sean Katagiri, Chandler Lemoine, Joshua Roe, Dylan Stephens, Shida Xu, Yaniel Carreno, Èric Pairet, Corina Barbalata, Yvan R. Petillot, Sen Wang:
From market-ready ROVs to low-cost AUVs. CoRR abs/2108.05792 (2021) - [i2]James P. Oubre, Ignacio Carlucho, Corina Barbalata:
Data-driven controllers and the need for perception systems in underwater manipulation. CoRR abs/2109.10327 (2021) - 2020
- [j4]Luis Omar Ávila, Mariano De Paula, Maximiliano Trimboli, Ignacio Carlucho:
Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids. Appl. Soft Comput. 97(Part B): 106711 (2020) - [i1]Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta, Corina Barbalata:
A reinforcement learning control approach for underwater manipulation under position and torque constraints. CoRR abs/2011.12360 (2020)
2010 – 2019
- 2019
- [j3]Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta:
Double Q-PID algorithm for mobile robot control. Expert Syst. Appl. 137: 292-307 (2019) - 2018
- [j2]Ignacio Carlucho, Mariano De Paula, Sen Wang, Yvan R. Petillot, Gerardo G. Acosta:
Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning. Robotics Auton. Syst. 107: 71-86 (2018) - 2017
- [j1]Ignacio Carlucho, Mariano De Paula, Sebastián A. Villar, Gerardo G. Acosta:
Incremental Q-learning strategy for adaptive PID control of mobile robots. Expert Syst. Appl. 80: 183-199 (2017)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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